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On Solving Fuzzy investment Problem using Dynamic Programming

by Hussah Mohammad Almenderj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 22
Year of Publication: 2018
Authors: Hussah Mohammad Almenderj
10.5120/ijca2018917923

Hussah Mohammad Almenderj . On Solving Fuzzy investment Problem using Dynamic Programming. International Journal of Computer Applications. 181, 22 ( Oct 2018), 14-20. DOI=10.5120/ijca2018917923

@article{ 10.5120/ijca2018917923,
author = { Hussah Mohammad Almenderj },
title = { On Solving Fuzzy investment Problem using Dynamic Programming },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 181 },
number = { 22 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number22/30016-2018917923/ },
doi = { 10.5120/ijca2018917923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:06:41.372094+05:30
%A Hussah Mohammad Almenderj
%T On Solving Fuzzy investment Problem using Dynamic Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 22
%P 14-20
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Investment problem is considered as one of the most important and interesting optimization problem. This problem becomes more difficult when we deal with it in an uncertain and vague environment with fuzzy data. The aim of this paper is to modify the investment problem with Interval- valued fuzzy number instead of normal fuzzy numbers. While the Interval- valued fuzzy number investment problem introduced, a dynamic programming is applied to obtain the optimal policy and the corresponding best return. A numerical example is given to illustrate the aspects of the considered problem.

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Index Terms

Computer Science
Information Sciences

Keywords

Investment problem Interval- valued fuzzy number Signed distance ranking Dynamic programming Optimal policy Best return.